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C

Cristian Villa-Sandoval

AI Training & Evaluation – Project Diamond (Handshake AI)

USA flagDallas, Usa
ExpertOther

Key Skills

Software

Other

Top Subject Matter

AI-generated text evaluation
AI pipeline data preparation
Legal Services & Contract Review

Top Data Types

TextText
DocumentDocument

Top Task Types

Data Collection

Freelancer Overview

AI Training & Evaluation – Project Diamond (Handshake AI). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Doctor of Philosophy, MIT (2022) and Master of Science, MIT (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Expert

Labeling Experience

AI Training & Evaluation – Project Diamond (Handshake AI)

OtherText
Evaluated and annotated AI-generated responses during Project Diamond (Handshake AI). Ensured all outputs were aligned with established guidelines and consistently reviewed AI behavior for quality. Maintained accuracy and detail in assessments to aid in model improvement. • Rated AI responses for correctness and completeness. • Annotated feedback to guide AI retraining processes. • Identified deviations from guidelines and documented them. • Used structured protocols to ensure consistency across evaluations.

Evaluated and annotated AI-generated responses during Project Diamond (Handshake AI). Ensured all outputs were aligned with established guidelines and consistently reviewed AI behavior for quality. Maintained accuracy and detail in assessments to aid in model improvement. • Rated AI responses for correctness and completeness. • Annotated feedback to guide AI retraining processes. • Identified deviations from guidelines and documented them. • Used structured protocols to ensure consistency across evaluations.

2023 - Present

Data Entry Specialist – Data Preparation for AI

OtherTextData Collection
Structured and cleaned text datasets for AI pipelines to facilitate model training and improvement. Maintained high data accuracy and quality when preparing information for ML projects. Collaborated with engineering teams to optimize dataset reliability and usability. • Curated and annotated raw data entries. • Implemented data validation checks to ensure dataset integrity. • Supported ongoing machine learning data needs. • Enhanced dataset structure for ease of model ingestion.

Structured and cleaned text datasets for AI pipelines to facilitate model training and improvement. Maintained high data accuracy and quality when preparing information for ML projects. Collaborated with engineering teams to optimize dataset reliability and usability. • Curated and annotated raw data entries. • Implemented data validation checks to ensure dataset integrity. • Supported ongoing machine learning data needs. • Enhanced dataset structure for ease of model ingestion.

2020 - 2023

Education

M

MIT

Master of Science, Software Engineering

Master of Science
2020 - 2022
M

MIT

Bachelor of Science, Software Engineering

Bachelor of Science
2016 - 2020

Work History

N

N/A

AI & Software Engineer

Dallas
2023 - Present
N

N/A

Machine Learning Engineer

Dallas
2022 - 2023